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important to integrate knowledge on processes of cognitive change and updates among individuals and in interaction with others into our data-driven computational modelling in order to understand broader
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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motivated postdoctoral researcher to contribute to the research projects RE:circulate and PROLONGing, both funded under Innovation Fund Denmark’s mission-driven initiatives within circular plastics and
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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a high academic standard and a strong publication focus. Our work is driven by the aim of generating rigorous and practically relevant knowledge that can improve support for couples, families, and